Data Platform Engineer

Worth AI, Inc.

Miami (FL)

Hybrid

USD 100,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Health Care Plan

Retirement Plan

Flexible Paid Time Off

Free Food & Snacks

Wellness Resources

Job summary

Worth AI, Inc. in Miami, Florida, seeks a talented Data Platform Engineer to design and maintain data services that enhance our analytics and product offerings. This role involves architecting solutions that unify data for risk assessment and support various internal users.

The successful candidate will bring strong expertise in graph databases, data pipeline development, and collaborative practices, with some travel to Orlando required.

Join us to make a meaningful impact with cutting-edge AI technology.

Qualifications

Hands-on experience with Graph databases and query languages.
Proven experience with Entity Resolution or Record Linkage tools.
Ability to design flexible data handling ontologies.

Responsibilities

Architect and implement entity resolution logic for data unification.
Design and maintain a high-performance global business knowledge graph.
Implement a hybrid storage strategy for data relationships.

Skills

Expertise in Graph Ecosystems

Entity Resolution or Record Linkage

Schema Design

API Performance for Graphs

Centralized data platforms

Software engineering skills

Data pipelines and ETL/ELT

Modern data stack tools

DevOps practices

Observability focus

Cross-functional collaboration

Tools

Neo4j

AWS Neptune

Python

Java

Docker

Kubernetes

Terraform

Job description

Worth AI, a leader in the computer software industry, is looking for a talented and experienced Data Platform Engineer to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.

As a Data Platform Engineer, you will design, build, and operate the core data services that power our products and analytics. You’ll own end-to-end data pipelines and API services that ingest, process, and expose high-quality data to internal customers (data science, analytics, product, and other engineering teams) and external partners.

You’ll be part of a small, high-impact team that treats the data platform as a product with strong SLAs, and reliable self-service for internal and external users.

Responsibilities

What you’ll do:

Architect and implement entity resolution logic to de-duplicate and link disparate data points into unified "Golden Records" for businesses and individuals
Design and maintain a high-performance global business knowledge graph and ontology to map complex ownership chains, UBOs, and hidden risk relationships across international borders
Implement a hybrid storage strategy that bridges graph databases for relationship mapping with document and search stores for rich metadata and adverse media content
Optimize the platform for real-time risk assessment, ensuring the ability to traverse multiple levels of ownership in milliseconds to support automated "Go/No-Go" onboarding decisions
Design and build scalable data services and APIs for ingesting, transforming, and serving data across the company
Develop and maintain batch and streaming data pipelines using modern data processing frameworks and AWS cloud-native tooling
Own the reliability, performance, and API first data platform, including monitoring, alerting, and on-call where appropriate
Implement best practices for data modeling, quality, lineage, and governance to ensure trustworthy, well-documented datasets
Work closely with data scientists, analysts, and application engineers to understand their needs and translate them into robust platform capabilities
Drive automation and standardization through CI/CD, model as a service, and reproducible environments
Help define and evolve the architecture of our data platform as a true internal service with clear contracts, SLAs, and versioned APIs

Expertise in Graph Ecosystems: Hands-on experience with Graph databases (e.g., Neo4j, AWS Neptune, or TigerGraph) and query languages like Cypher or Gremlin
Identity & Linkage Mastery: Proven experience with Entity Resolution or Record Linkage (e.g., using tools like Senzing, Quantexa, or custom probabilistic matching models)
Schema Design: Ability to design flexible ontologies that handle evolving regulatory data (e.g., changing PEP definitions or Sanction list formats)
API Performance for Graphs: Experience building GraphQL or REST APIs specifically optimized for graph traversals and deep-tree lookups
Experience building centralized data platforms or “data-as-a-service” offerings at scale (e.g., at a large tech or cloud-native company)
Strong software engineering skills in at least one language commonly used for data and services (e.g., Python, Java, Go, Rust)
Hands-on experience building data pipelines and ETL/ELT workflows on a major cloud provider (AWS preferred)
Experience with modern data stack tools such as Spark/Flink, Kafka/Kinesis, Airflow/managed schedulers, and data warehouses (e.g., Snowflake, Redshift, BigQuery, Databricks)
Familiarity with DevOps practices: CI/CD, containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform)
Strong focus on observability (metrics, logs, traces), resilience, and building early warning signals
Comfort collaborating cross-functionally and communicating clearly with both technical and non-technical stakeholders.

Nice to Have

Background supporting machine learning or real-time decisioning use cases from a platform point of view
Compliance Domain Knowledge: Understanding of AML, CTF, and KYC/KYB data structures (e.g., LEIs, ISO 20022)
Geospatial Data: Experience handling global address normalization and geospatial indexing for risk detection

** All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town Halls and team collaboration in addition to orientation in Orlando, Florida